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/enumerate-dimension-values

Enumerate meaningful values/levels for a dimension or factor. Mode controls representative, experimental, boundary, pathological, or adversarial coverage.

From plugin
de-anthropocentric-research-engine
512200 skills

Claude Code

$ npx -y skills add yogsoth-ai/de-anthropocentric-research-engine --skill enumerate-dimension-values --agent claude-code

SKILL.md

enumerate-dimension-values.SKILL.md
name: enumerate-dimension-values
description: "Enumerate meaningful values/levels for a dimension or factor. Mode controls representative, experimental, boundary, pathological, or adversarial coverage."

enumerate-dimension-values

Purpose

Enumerate meaningful values or levels for a dimension or factor, including representative, experimental, boundary, pathological, or adversarial coverage.

Input contract

required: [dimensions, value_schema, mode]
optional: [ranges, spacing_strategy, domain_constraints, baseline_values]
constraints: [values are typed to the dimension; mode determines representative, experimental, boundary, pathological, or adversarial coverage]

Procedure

1. Validate each dimension's type, range, units, and constraints. 2. Generate representative values and caller-requested boundary or extreme values. 3. For experimental mode, apply the supplied spacing strategy and preserve factor comparability. 4. Deduplicate and annotate rationale, provenance, and expected coverage. 5. Return the value set per dimension.

If the dimension values are ready for controlled combination, consider `construct-design-matrix` as the next tactic. If the values define plausible perturbations around a conclusion, consider `assess-sensitivity` as the next tactic.

Output contract

produces: [dimension_value_sets, boundary_cases, spacing_annotations, coverage_rationale]
delta_fields: [findings, evidence_updates, decisions, uncertainties]

Quality gates

  • Preserve the source representative enumeration of 3-5 values per parameter when that mode is selected.
  • Preserve experimental factor levels of 2-5 levels with an explicit spacing strategy.
  • Boundary/extreme mode must include the caller-defined boundary, pathological, distribution-shift, rare-combination, or scale-extreme cases; do not invent a fixed case count.

Parameterization

The caller must provide dimensions and types, valid ranges and units, enumeration mode, spacing strategy, baseline values, and domain constraints. If experimental mode is used, provide factor roles and the intended comparison design.

Failure and counterexamples

Reject values outside declared domains, levels without units or semantics, or pathological cases presented as representative defaults.

Provenance map

  • resolved: creative-ideation/value-enumeration
  • resolved: stress-test/extreme-value-generation
  • resolved: deep-insight/edge-case-generation
  • resolved: experiment-execution/level-specification
  • intermediate: Pass3/enumerate-values
  • intermediate: Pass3/generate-extreme-values
  • intermediate: Pass3/specify-factor-levels

Verbatim source criteria excerpts

  • `value-enumeration` line 14: Enumerate 3-5 meaningful values per parameter, ensuring coverage of boundary and extreme values.

Preserved source criteria ledger

| source | physical line | kind | source criterion | |---|---:|---|---| | creative-ideation/value-enumeration | 11 | numeric | Enumerate 3-5 values per parameter, including extremes. | | experiment-execution/level-specification | 12 | numeric | Experimental factor levels use 2-5 levels and an explicit spacing strategy. |

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@yogsoth-ai
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A research skill graph for AI-native science. 271 markdown files. No runtime, no dependencies, no build step.

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Questions about enumerate-dimension-values.

Which coding agents can use enumerate-dimension-values?
enumerate-dimension-values installs in Claude Code, Codex, Cursor, Gemini CLI, GitHub Copilot, OpenCode and Windsurf with the skills CLI, using each agent's flag shown on this page. Flowy's auto-invocation, which fires a skill when your prompt matches, runs in Claude Code only.